• DocumentCode
    2569339
  • Title

    An automatic branch and stenoses detection in computed tomography angiography

  • Author

    Cetin, Suheyla ; Unal, Gozde ; Degertekin, Muzaffer

  • Author_Institution
    Comput. Sci., Sabanci Univ., Istanbul, Turkey
  • fYear
    2012
  • fDate
    2-5 May 2012
  • Firstpage
    582
  • Lastpage
    585
  • Abstract
    In this work, we present an automatic branch and stenoses detection method that is capable of detecting all types of plaques in Computed Tomography Angiography (CTA) modality. Our method is based on the vessel extraction algorithm we proposed in [1], and detects branches and stenoses in a very fast way. We demonstrate the performance of our branch detection method on 3 complex tubular structured synthetic datasets for quantitative validation. Additionally, we show the preliminary results of stenoses detection algorithm on 11 CTA volumes, which are qualitatively evaluated by a cardiologist expert.
  • Keywords
    computerised tomography; diagnostic radiography; diseases; medical image processing; automatic branch detection method; complex tubular structured synthetic datasets; computed tomography angiography; quantitative validation; stenoses detection method; vessel extraction algorithm; Algorithm design and analysis; Arteries; Computed tomography; Image segmentation; Noise; Tensile stress; Vectors; CTA; branch detection; coronary arteries; segmentation; stenosis detection; tubular structures; vessel trees;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on
  • Conference_Location
    Barcelona
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4577-1857-1
  • Type

    conf

  • DOI
    10.1109/ISBI.2012.6235615
  • Filename
    6235615